Literature DB >> 26633206

Kernel Energy Method:  The Interaction Energy of the Collagen Triple Helix.

Lulu Huang1, Lou Massa1, Jerome Karle1.   

Abstract

There is a rapid growth in computational difficulty with the number of atoms when quantum mechanics is applied to the study of biological molecules. This difficulty may be alleviated in two different ways. One is the advance of parallel supercomputers. And the second is the use of a quantum crystallographic formalism based upon quantum kernels. The kernel methodology is well suited for parallel computation. Recently published articles have applied these advances to calculate the quantum mechanical ab initio molecular energy of peptides, protein (insulin), DNA, and RNA. The results were found to have high accuracy. This paper shows that it is possible to use the full power of ab initio quantum mechanics to calculate the interaction of long chain molecules of biological and medicinal interest. Such molecules may contain thousands or even tens of thousands of atoms. In the approach presented here the computational difficulty of representing a molecule increases only modestly with the number of atoms. The calculations are simplified by representing a full molecule by smaller "kernels" of atoms. The general case is illustrated by a specific example using an important protein, viz., a triple helix collagen molecule of known molecular structure. In order for such a molecule to be a stable helix, the overall interactions among the chains must be attractive. The results show that such interactions are accurately represented by application of the KEM to this triple helix.

Entities:  

Year:  2007        PMID: 26633206     DOI: 10.1021/ct7000649

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  5 in total

1.  The kernel energy method of quantum mechanical approximation carried to fourth-order terms.

Authors:  Lulu Huang; Lou Massa; Jerome Karle
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-04       Impact factor: 11.205

2.  Calculation of strong and weak interactions in TDA1 and RangDP52 by the kernel energy method.

Authors:  Lulu Huang; Lou Massa; Isabella Karle; Jerome Karle
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-20       Impact factor: 11.205

3.  Protoribosome by quantum kernel energy method.

Authors:  Lulu Huang; Miri Krupkin; Anat Bashan; Ada Yonath; Lou Massa
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-26       Impact factor: 11.205

4.  Kernel energy method applied to vesicular stomatitis virus nucleoprotein.

Authors:  Lulu Huang; Lou Massa; Jerome Karle
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

Review 5.  Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries.

Authors:  Chandrabose Selvaraj; Ishwar Chandra; Sanjeev Kumar Singh
Journal:  Mol Divers       Date:  2021-10-23       Impact factor: 2.943

  5 in total

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